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Mastering SQL Server 2017

You're reading from  Mastering SQL Server 2017

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781838983208
Pages pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Miloš Radivojević Miloš Radivojević
Profile icon Miloš Radivojević
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
William Durkin William Durkin
Profile icon William Durkin
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
View More author details
Toc

Table of Contents (20) Chapters close

Title Page
Copyright Contributors About Packt Preface 1. Introduction to SQL Server 2017 2. SQL Server Tools 3. JSON Support in SQL Server 4. Stretch Database 5. Temporal Tables 6. Columnstore Indexes 7. SSIS Setup 8. What Is New in SSIS 2016 9. Key Components of a Modern ETL Solution 10. Dealing with Data Quality 11. Unleash the Power of SSIS Script Task and Component 12. On-Premises and Azure Big Data Integration 13. Extending SSIS Custom Tasks and Transformations 14. Scale Out with SSIS 2017 1. Other Books You May Enjoy

Summary

Stretch DB allows the moving of historical or less frequently needed data dynamically and transparently to Microsoft Azure. Data is always available and online, and you don't need to change queries in your solutions; SQL Server takes care of the location of data and combines retrieving data from the local server and remote Azure location. Therefore, you can completely delegate your cold data to Azure and reduce storage, maintenance, and implementation costs of an on-premises solution for cold data storage and availability. However, there are many limitations to using Stretch DB and most OLTP tables cannot be stretched to the cloud—at least not without schema and constraint changes. Stretch Database brings maximum benefits to tables with historical data that is rarely used. You can calculate the price for data storage and querying against the Azure database and...

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